Systems and methods for creating and updating reputation records

Abstract

According to one aspect of the present disclosure, a computer-implemented method is provided for generating a reputation record and filtering electronic messages, each reputation record including a reputation score and a reputation key. The method includes receiving at least one incoming event notification, including a reputation key; determining, based on the reputation key, whether a corresponding reputation record exists; creating a new reputation record if the corresponding reputation record does not exist; determining a trust determination function based on the incoming event notification; calculating a reputation score based on the determined trust determination function, the incoming event notification, and an attribute associated with the reputation key; storing the calculated reputation score along with the reputation key in either the new reputation record or the corresponding reputation record; and filtering one or more electronic messages based on the calculated reputation score.

1. A computer-implemented method for creating and updating reputation records, each reputation record including a reputation score, and a unique reputation key, comprising:
 receiving at least one incoming event notification, including an indexing reputation key; 
 determining, based on the indexing reputation key, if a corresponding reputation record exists; 
 creating, if the corresponding reputation record does not exist, a new reputation record including a default reputation score and a confidence factor that specifies a certainty associated with the reputation score; 
 storing, when the new reputation record is created, the default reputation score as the reputation score, the indexing reputation key as the unique reputation key, and the confidence factor; and 
 updating, in the corresponding reputation record or the new reputation record, the reputation score based on the at least one incoming event notification and a trust determination function. 
 
     
     
       2. The method of  claim 1 , wherein the trust determination function updates the reputation score based on one or more of: a registration attribute, a spam report event, a TINS reporting event, an email sending behavior, a sent email attribute, an email listing behavior, an email reading behavior, an action event, a whitelist/blacklist history, and a mail volume. 
     
     
       3. The method of  claim 1 , further comprising generating an alert based on an updated reputation score, or a difference between the updated reputation score and the default reputation score, and sending the alert to an alert subscriber client. 
     
     
       4. The method of  claim 1 , wherein the incoming event notification is based on one of: an account creation date, a SPAM report, TINS report, a rate of e-mail sending, and a ratio of e-mail sending. 
     
     
       5. The method of  claim 1 , further comprising filtering one or more electronic messages based on the calculated reputation score. 
     
     
       6. The method of  claim 1 , wherein each reputation record further comprises a reputation category. 
     
     
       7. The method of  claim 1 , wherein the default reputation score is a pre-determined static value stored by a reputation server. 
     
     
       8. The method of  claim 1 , further comprising storing each reputation record in a cache complex and a persistent storage system. 
     
     
       9. The method of  claim 1 , further comprising generating a report for a user, the report including the confidence factor. 
     
     
       10. The method of  claim 1 , further comprising:
 storing a second confidence factor in association with the unique reputation key; 
 and 
 combining the confidence factor with the second confidence factor to determine an aggregate confidence factor. 
 
     
     
       11. A computer-implemented method for calculating a reputation score and filtering electronic messages, comprising:
 receiving at least one incoming event notification, including an indexing reputation key; 
 determining, based on the indexing reputation key and at least one event type, a trust determination function; 
 calculating a reputation score and a confidence factor that specifies a certainty associated with the reputation score based on the determined trust determination function; and 
 filtering one or more electronic messages based on the calculated reputation score. 
 
     
     
       12. The method of  claim 11 , further comprising storing the confidence factor with the reputation score. 
     
     
       13. The method of  claim 11 , further comprising generating an alert based on the calculated reputation score, or a difference between the reputation score and a threshold reputation score, and sending the alert to an alert subscriber client. 
     
     
       14. The method of  claim 11 , wherein the event type includes one of: an account creation, a SPAM report, TINS report, or an e-mail event. 
     
     
       15. The method of  claim 11 , further including determining a reputation category based on the indexing reputation key, the at least one event type, and the trust determination function. 
     
     
       16. The method of  claim 11 , further comprising storing each indexing reputation score and calculated reputation score in a cache complex and a persistent storage system. 
     
     
       17. The method of  claim 11 , wherein the trust determination function calculates the reputation score based on one or more of: a registration attribute, a spam report event, a TINS reporting event, an email sending behavior, a sent email attribute, an email listing behavior, an email reading behavior, an action event, a whitelist/blacklist history, and a mail volume. 
     
     
       18. The method of  claim 11 , further comprising generating a report for a user, the report including the confidence factor. 
     
     
       19. The method of  claim 11 , further comprising:
 calculating a second confidence factor associated with the reputation key; and 
 combining the confidence factor with the second confidence factor to determine an aggregate confidence factor. 
 
     
     
       20. A computer-implemented method for generating a reputation record and filtering electronic messages, each reputation record including a reputation score and a reputation key, the method comprising:
 receiving at least one incoming event notification, including a reputation key; 
 determining, based on the reputation key, whether a corresponding reputation record exists; 
 creating a new reputation record if the corresponding reputation record does not exist; 
 determining a trust determination function based on the incoming event notification; 
 calculating a reputation score and confidence factor that specifies a certainty for the reputation score based on the determined trust determination function, the incoming event notification, and an attribute associated with the reputation key; 
 storing the calculated reputation score along with the reputation key in either the new reputation record or the corresponding reputation record; and 
 filtering one or more electronic messages based on the calculated reputation score. 
 
     
     
       21. The method of  claim 20 , wherein the trust determination function calculates the reputation score based on one or more of: a registration attribute, a spam report event, a TINS reporting event, an email sending behavior, a sent email attribute, an email listing behavior, an email reading behavior, an action event, a whitelist/blacklist history, and a mail volume. 
     
     
       22. The method of  claim 20 , further comprising storing the confidence factor with the reputation score. 
     
     
       23. The method of  claim 20 , wherein filtering of the one or more messages is performed by blocking, suspending, or scrambling a password associated with an email account associated with the reputation key. 
     
     
       24. The method of  claim 20 , further comprising generating a report for
 a user, the report including the confidence factor. 
 
     
     
       25. The method of  claim 20 , further comprising:
 calculating a second confidence factor associated with the reputation key; and 
 combining the confidence factor with the second confidence factor to determine an aggregate confidence factor.